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The AI revolution is running out of data. What can researchers do?

EPISODE · Jan 31, 2025 · 16 MIN

The AI revolution is running out of data. What can researchers do?

from Nature Podcast

The explosive improvement in artificial intelligence (AI) technology has largely been driven by making neural networks bigger and training them on more data. But experts suggest that the developers of these systems may soon run out of data to train their models. As a result, teams are taking new approaches, such as searching for other unconventional data sources, or generating new data to train their AIs.This is an audio version of our Feature: The AI revolution is running out of data. What can researchers do? Hosted on Acast. See acast.com/privacy for more information.

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The explosive improvement in artificial intelligence (AI) technology has largely been driven by making neural networks bigger and training them on more data. But experts suggest that the developers of these systems may soon run out of data to train their models. As a result, teams are taking new approaches, such as searching for other unconventional data sources, or generating new data to train their AIs.This is an audio version of our Feature: The AI revolution is running out of data. What can researchers do? Hosted on Acast. See acast.com/privacy for more information.

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This episode is 16 minutes long.

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This episode was published on January 31, 2025.

What is this episode about?

The explosive improvement in artificial intelligence (AI) technology has largely been driven by making neural networks bigger and training them on more data. But experts suggest that the developers of these systems may soon run out of data to train...

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